基于时空图像的视频交通拥堵估计方法

2008 First International Conference on Intelligent Networks and Intelligent Systems Pub Date : 2008-11-01 DOI:10.1109/ICINIS.2008.182

Li Li, Long Chen, Xiaofei Huang, Jian Huang

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引用次数: 39

摘要

本文提出了一种新的方法来检测道路上的交通拥堵在一个自然开放的世界场景观察到的电视摄像机放置在杆子或建筑物。在该系统中，提出了一种基于时空图像的视频道路状态估计算法。实际道路交通拥堵估计的实验结果表明，该方法在复杂照明和交通环境下具有较好的鲁棒性。文中给出了具体的算法和比较结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Traffic Congestion Estimation Approach from Video Using Time-Spatial Imagery

This paper presents a novel approach to detect traffic congestion on roads in a natural open world scene observed from TV cameras placed on poles or buildings. In this system, a time-spatial imagery based algorithm is proposed to estimate the road status from the video. The experimental results on real road traffic congestion estimation show that the time-spatial method is robust in complex lighting and traffic environment. The detailed algorithm and the comparison results are given in the paper.

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来源期刊

2008 First International Conference on Intelligent Networks and Intelligent Systems

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